Spring Adam P, Peters Caradoc, Minns Tom
Combined Universities in Cornwall.
IEEE Comput Graph Appl. 2010 May-Jun;30(3):15-9. doi: 10.1109/MCG.2010.62.
Here, we explore new, more accessible ways of modeling 3D data sets that both professionals and amateurs can employ in areas such as architecture, forensics, geotechnics, cultural heritage, and even hobbyist modeling. To support our arguments, we present images from a recent case study in digital preservation of cultural heritage using a mid-range laser scanner. Our appreciation of the increasing variety of methods for capturing 3D spatial data inspired our research. Available methods include photogrammetry, airborne lidar, sonar, total stations (a combined electronic and optical survey instrument), and midand close-range scanning.1 They all can produce point clouds of varying density. In our case study, the point cloud produced by a mid-range scanner demonstrates how open source software can make modeling and disseminating data easier. Normally, researchers would model this data using expensive specialized software, and the data wouldn't extend beyond the laser-scanning community.
在此，我们探索更新颖、更易获取的三维数据集建模方法，专业人士和业余爱好者均可在建筑、法医学、岩土工程、文化遗产等领域，甚至是业余建模中应用这些方法。为支持我们的观点，我们展示了近期一个使用中程激光扫描仪进行文化遗产数字保存的案例研究中的图像。对越来越多用于获取三维空间数据的方法的认识激发了我们的研究。现有方法包括摄影测量、机载激光雷达、声纳、全站仪（一种电子和光学相结合的测量仪器）以及中程和近程扫描。它们都能生成密度各异的点云。在我们的案例研究中，中程扫描仪生成的点云展示了开源软件如何使数据建模和传播变得更加容易。通常情况下，研究人员会使用昂贵的专业软件对这些数据进行建模，而且数据不会超出激光扫描领域。
